Results 71 to 80 of about 487,210 (299)
An Induced Natural Selection Heuristic for Finding Optimal Bayesian Experimental Designs [PDF]
Bayesian optimal experimental design has immense potential to inform the collection of data so as to subsequently enhance our understanding of a variety of processes.
Bean, Nigel G. +3 more
core +2 more sources
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
ILOOP – a web application for two-channel microarray interwoven loop design
Microarray technology is widely applied to address complex scientific questions. However, there remain fundamental issues on how to design experiments to ensure that the resulting data enables robust statistical analysis.
Perkins Edward J +5 more
doaj +1 more source
How many repeated measures in repeated measures designs? Statistical issues for comparative trials
Background In many randomized and non-randomized comparative trials, researchers measure a continuous endpoint repeatedly in order to decrease intra-patient variability and thus increase statistical power. There has been little guidance in the literature
Vickers Andrew J
doaj +1 more source
Global design of analog cells using statistical optimization techniques [PDF]
El pdf del artículo es la versión post-print.
Medeiro Hidalgo, Fernando +5 more
openaire +4 more sources
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
Optimal designs for multivariable spline models [PDF]
In this paper, we investigate optimal designs for multivariate additive spline regressionmodels. We assume that the knot locations are unknown, so must be estimated from thedata.
David C. Woods +5 more
core +1 more source
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
A Non-Parametric Sequential Procedure for the Generalized Partition Problem
In selection and ranking, the partitioning of treatments by comparing them to a control treatment is an important statistical problem. For over eighty years, this problem has been investigated by a number of researchers via various statistical designs to
Tumulesh K. S. Solanky, Jie Zhou
doaj +1 more source
Optimal designs for asymmetric sigmoidal response curves in bioassays and immunoassays [PDF]
Recent studies show that asymmetric sigmoidal response curves are not uncommonin biomedical studies. For example, the 5-parameter logistic (5PL) model isfrequently used to model and analyze responses from bioassays and immunoassayswhich can be skewed ...
Hyun, Seung Won +2 more
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